Suncore's CPV power plant deployment in western China

Foresi, James; Babej, Alaric; Han, Rick; Liao, Tingdi; Wang, Charlie C. L.; King, David L.

doi:10.1109/pvsc.2014.6925636

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…The literature does give some indication of losses because of tracker placement and land use. Foresi used a derate factor of 0.92 for the Suncore CPV plant in China, and Araki presented a 4% shading loss from a small number of trackers. Although this value is an economic design choice, 4% and 8% are real values for fielded systems.…”

Section: Analysis/discussionmentioning

confidence: 99%

“…Strobach used data from a Soitec system to empirically determine coefficients for a model that predicted alternating current (AC) power from measurements of DNI, ambient temperature, wind speed, and AM. Foresi applied the traditional Sandia performance model (which included consideration for derate factors) to a large Suncore system installed in China. Issues with grid capacity and lack of accurate operational data prevented Foresi from making definitive conclusions on the accuracy of the derates and the model as a whole.…”

Section: Introductionmentioning

confidence: 99%

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A side‐by‐side comparison of CPV module and system performance

Muller

Marion

Kurtz

et al. 2016

Progress in Photovoltaics

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A side‐by‐side comparison is made between concentrator photovoltaic module and system direct current aperture efficiency data with a focus on quantifying system performance losses. The individual losses measured/calculated, when combined, are in good agreement with the total loss seen between the module and the system. Results indicate that for the given test period, the largest individual loss of 3.7% relative is due to the baseline performance difference between the individual module and the average for the 200 modules in the system. A basic empirical model is derived based on module spectral performance data and the tabulated losses between the module and the system. The model predicts instantaneous system direct current aperture efficiency with a root mean square error of 2.3% relative. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Analysis/discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A side‐by‐side comparison of CPV module and system performance

Muller

Marion

Kurtz

et al. 2016

Progress in Photovoltaics

View full text Add to dashboard Cite

show abstract

“…The module types differ in their geometrical concentration, lens type and secondary optical element (SOE). The Daido Steel [3] modules use PMMA Fresnel lenses, whereas the Suncore [4] and the Soitec [5] modules use silicone-on-glass (SoG) Fresnel lenses. Both, Daido Steel and Suncore modules use a SOE, whereas the Soitec modules do not.…”

Section: The Specimens and Partnersmentioning

confidence: 99%

Rating of CPV modules: Results of module round robins

Steiner¹,

Siefer²,

Baudrit³

et al. 2016

AIP Conference Proceedings

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“…Resource shortages around the world are becoming more and more serious, and the development of renewable power generation technologies is extremely urgent. As a clean and renewable energy source, solar power plays a more and more important role in China's energy strategy and its installed capacity is increasing day by day [1,2]. However, since photovoltaic inverters based on power electronic inverter interfaces have almost no rotational kinetic energy, the inertia of these systems will also decrease when they are connected to the power grid on a large scale.…”

Section: Introductionmentioning

confidence: 99%

Small-Signal Modeling and Parameter Optimization Design for Photovoltaic Virtual Synchronous Generator

Deng¹,

Xia²,

Yin³

et al. 2020

Energies

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With the continuous proliferation of renewable energy generation, distributed photovoltaic inverters operating at a maximum power point reduce the inertia of power systems, degrading system frequency stability and potentially causing severe oscillations in systems after being disturbed. The virtual synchronous generator (VSG) control method, which causes photovoltaic inverters to possess inertia and damping, now plays an important role in the field of distributed generation. However, while introducing the advantages of synchronous machines, problems with oscillations are also introduced and the stochastic fluctuation characteristic of photovoltaics results in the stochastic drifting of the operating point. This paper presents an adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system. Firstly, a small-signal model of the PV-VSG is built and a state space model is deduced. Then, the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system are analyzed. Finally, considering the limitations of system oscillations and the stochastic drifting of the operating point, a global optimization design method for controller parameters used to improve system stability is proposed. The time domain simulation shows that an optimized PV-VSG could provide sufficient damping in the case of photovoltaic power output changes across a wider range.

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Suncore's CPV power plant deployment in western China

Cited by 7 publications

References 1 publication

A side‐by‐side comparison of CPV module and system performance

A side‐by‐side comparison of CPV module and system performance

Rating of CPV modules: Results of module round robins

Small-Signal Modeling and Parameter Optimization Design for Photovoltaic Virtual Synchronous Generator

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